Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Chen, Junyang"'
The multiplayer online battle arena (MOBA) genre has gained significant popularity and economic success, attracting considerable research interest within the Human-Computer Interaction community. Enhancing the gaming experience requires a deep unders
Externí odkaz:
http://arxiv.org/abs/2406.19720
Open-set graph learning is a practical task that aims to classify the known class nodes and to identify unknown class samples as unknowns. Conventional node classification methods usually perform unsatisfactorily in open-set scenarios due to the comp
Externí odkaz:
http://arxiv.org/abs/2402.18495
Autor:
Guo, Jingcai, Zhou, Qihua, Li, Ruibing, Lu, Xiaocheng, Liu, Ziming, Chen, Junyang, Xie, Xin, Zhang, Jie
This paper provides a novel parsimonious yet efficient design for zero-shot learning (ZSL), dubbed ParsNets, where we are interested in learning a composition of on-device friendly linear networks, each with orthogonality and low-rankness properties,
Externí odkaz:
http://arxiv.org/abs/2312.09709
Autor:
Chen, Junyang, Lai, Hanjiang
Zero-shot composed image retrieval (ZS-CIR), which aims to retrieve a target image based on textual modifications to a reference image without triplet labeling, has gained more and more attention. Current ZS-CIR research mainly relies on two unlabele
Externí odkaz:
http://arxiv.org/abs/2311.07622
Autor:
Chen, Junyang, Lai, Hanjiang
Text-guided image retrieval is to incorporate conditional text to better capture users' intent. Traditionally, the existing methods focus on minimizing the embedding distances between the source inputs and the targeted image, using the provided tripl
Externí odkaz:
http://arxiv.org/abs/2308.08131
In clinical scenarios, multiple medical images with different views are usually generated at the same time, and they have high semantic consistency. However, the existing medical report generation methods cannot exploit the rich multi-view mutual inf
Externí odkaz:
http://arxiv.org/abs/2304.07465
Autor:
Chen, Junyang, Xian, Xiaoyu, Yang, Zhijing, Chen, Tianshui, Lu, Yongyi, Shi, Yukai, Pan, Jinshan, Lin, Liang
Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representative datasets to train a discriminative model, which is often violated
Externí odkaz:
http://arxiv.org/abs/2303.10945
Autor:
Wang, Xiangtao, Wang, Ruizhi, Tian, Biao, Zhang, Jiaojiao, Zhang, Shuo, Chen, Junyang, Lukasiewicz, Thomas, Xu, Zhenghua
Existing self-supervised learning methods based on contrastive learning and masked image modeling have demonstrated impressive performances. However, current masked image modeling methods are mainly utilized in natural images, and their applications
Externí odkaz:
http://arxiv.org/abs/2302.13699
Analysis of X-ray images is one of the main tools to diagnose breast cancer. The ability to quickly and accurately detect the location of masses from the huge amount of image data is the key to reducing the morbidity and mortality of breast cancer. C
Externí odkaz:
http://arxiv.org/abs/2302.11106
Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and computer vision communities. Prior methods successfully preserve the charact
Externí odkaz:
http://arxiv.org/abs/2301.00965